Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
Convolution Properties II01:17

Convolution Properties II

The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
Newman Projections02:06

Newman Projections

Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as conformers.
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
Mesh Analysis01:20

Mesh Analysis

Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spatial Multiple Importance Sampling for Real-Time Irradiance Probes.

IEEE transactions on visualization and computer graphics·2026
Same author

SeparateGen: Semantic Component-Based 3D Character Generation From Single Images.

IEEE transactions on visualization and computer graphics·2026
Same author

Regarding the "Efgartigimod versus standard of care in new-onset AChR subtype generalized myasthenia gravis: A prospective cohort study".

Clinical immunology (Orlando, Fla.)·2025
Same author

Tuning Vision-Language Models With Multiple Prototypes Clustering.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

SN$^{2}$2eRF: A Framework for Neural Radiance Fields Given Sparse and Noisy Poses.

IEEE transactions on visualization and computer graphics·2024
Same author

Learning Virtual View Selection for 3D Scene Semantic Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2024
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Semiregular solid texturing from 2D image exemplars.

Song-Pei Du1, Shi-Min Hu, Ralph R Martin

  • 1TNList, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China. dusongpei@gmail.com

IEEE Transactions on Visualization and Computer Graphics
|May 23, 2012
PubMed
Summary
This summary is machine-generated.

Synthesizing 3D solid textures from 2D images is now possible. This new method accurately reconstructs particle shapes, colors, and positions for realistic 3D texture generation.

More Related Videos

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Serial Block-Face Scanning Electron Microscopy (SBF-SEM) of Biological Tissue Samples
09:21

Serial Block-Face Scanning Electron Microscopy (SBF-SEM) of Biological Tissue Samples

Published on: March 26, 2021

Related Experiment Videos

Last Updated: May 22, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Serial Block-Face Scanning Electron Microscopy (SBF-SEM) of Biological Tissue Samples
09:21

Serial Block-Face Scanning Electron Microscopy (SBF-SEM) of Biological Tissue Samples

Published on: March 26, 2021

Area of Science:

  • Computer Graphics
  • Material Science
  • Computational Imaging

Background:

  • Solid textures with embedded particles are prevalent in natural and artificial materials.
  • Existing methods for 3D texture synthesis often struggle with accuracy and realism.

Purpose of the Study:

  • To develop a novel technique for synthesizing 3D solid textures from 2D image exemplars.
  • To improve the quality and plausibility of synthesized 3D textures.

Main Methods:

  • Estimating particle shapes and colors from 2D cross-section images.
  • Utilizing particle positions in 2D images to guide 3D particle placement.
  • Developing a synthesis algorithm for generating 3D volume textures.

Main Results:

  • The proposed algorithm successfully synthesizes 3D textures from 2D exemplars.
  • Generated textures exhibit accurate particle shapes, colors, and spatial arrangements.
  • The synthesized 3D structures demonstrate higher quality and plausibility compared to prior methods.

Conclusions:

  • The novel technique effectively reconstructs 3D solid textures from 2D cross-sections.
  • This approach offers a significant advancement in realistic 3D texture synthesis.
  • The method is compatible with input images and produces plausible 3D results.